Guangbiao Liu

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

Feifei He, Jianzhong Zhou, Zhong-kai Feng et al. · Applied Energy · 2019 · 326 citations

Forecasting Methodology, Hybrid Short-term Load, Engineering +8

Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest

Feifei He, Jianzhong Zhou, Mo Li et al. · Applied Energy · 2020 · 117 citations

Forecasting Methodology, Probabilistic Forecasting, Engineering +7

Multi-plan formulation of hydropower generation considering uncertainty of wind power

Yang Yuqi, Jianzhong Zhou, Guangbiao Liu et al. · Applied Energy · 2019 · 67 citations

Engineering, Wind Power Generation, Smart Grid +5

Advance short-term wind energy quality assessment based on instantaneous standard deviation and variogram of wind speed by a hybrid method

Guangbiao Liu, Jianzhong Zhou, Benjun Jia et al. · Applied Energy · 2019 · 34 citations

Floating Wind Turbine, Instantaneous Standard Deviation, Engineering +7

A hybrid wind speed forecasting model based on a decomposition method and an improved regularized extreme learning machine

Na Sun, Jianzhong Zhou, Guangbiao Liu et al. · Energy Procedia · 2019 · 27 citations · Full text

Speed Forecasting, Meteorology, Forecasting Methodology +14